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Evaluation of Brazilian terrestrial Aspergillus strains for Mycotoxin production

2002· article· en· W83206509 on OpenAlexfundno aff
Thaís Valéria Milanez, Iracema Helena Schoenlein-Crusius, Luci K. Okino

Bibliographic record

VenueREVISTA DO INSTITUTO ADOLFO LUTZ · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsnot available
FundersHealth CanadaUniversidade de São Paulo
KeywordsMycotoxinAspergillusBiologyProduction (economics)BiotechnologyMicrobiology

Abstract

fetched live from OpenAlex

Screening tests for aflatoxins B1, B2, G1 and G2, ochratoxin A and sterigmatocystin productionwere performed in 13 strains of Aspergillus spp, isolated from the terrestrial environment in the BrazilianAtlantic Rainforest (São Paulo State/Brazil). Coconut agar medium and moistened corn were employed assubstrates. The fungal extracts obtained from both media were submitted to thin-layer chromatography and the toxins were estimated according to the intensity of their fluorescence observed under UV light. None of the tested strains presented any of the mentioned mycotoxins. Because many unknown fluorescent spots were present, it was necessary to proceed a confirmation step using multiple chromatography, two dimensional chromatography and derivatization. In view of the accuracy of the employed methods and thepresence of many unknown fluorescent spots, the need of further studies on the production of others mycotoxins of fungi isolated under tropical conditions is justified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.273
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

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